Sustainable optimisation approaches for production planning and control to evolve towards industry 5.0
该研究分析了77篇文献，探讨在工业4.0和5.0背景下，如何通过数学规划、元启发式等优化方法，结合数字技术（如大数据、AI、物联网）和人员整合，实现生产计划与控制的可持续性，对制造企业和运营管理研究者有参考价值。
Industry 4.0 (I4.0) has led to a very high development potential in the optimisation of production planning and control problems in industrial companies. This study aims to analyse the existing scientific literature on the optimisation of planning, control and management problems, specifically in the production, operations and scheduling areas, to make industry more sustainable in accordance with the I4.0 context; that is, applying new digital technologies and I5.0 by integrating people into this digital transformation. Specifically, 77 research works were identified and analysed. The main findings conclude that the key setting of these optimisation problems lies in manufacturing contexts and highlight the use of modelling and solution techniques through mathematical programming and metaheuristics. These studies, which are mostly empirical, point out different software tools, and underline the use of MATLAB, optimisation with CPLEX, the Python programming language and simulation through AnyLogic. For I4.0 techniques, data analytics and big data, artificial intelligence, the Internet of Things, sensors and simulation and digital twins are the most studied. Proposals addressing worker ergonomics and a three-pillar approach to sustainability are particularly noteworthy. Finally, the main research gaps, challenges and trends for future research are recognised.